kohonen
Class WTALearningFunctionWithTired

java.lang.Object
  kohonen.WTALearningFunction
      kohonen.WTALearningFunctionWithTired

public class WTALearningFunctionWithTired
extends WTALearningFunction

WTALearningFunctionWithTired class - learnig class used to learn neurons with tiredness

Field Summary

Fields inherited from class kohonen.WTALearningFunction

functionalModel, learningData, maxIteration, metrics, networkModel

Constructor Summary

WTALearningFunctionWithTired(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel)
Creates a new instance of WTALearningFunction.

Method Summary

protected void	changeNeuronWeight(int neuronNumber, double[] vector, int iteration) Change neuron weights for specified neuron number,iteration and input data vector.
protected int	getBestNeuron(double[] vector) Return number of the best neuron for specified input vector.

Methods inherited from class kohonen.WTALearningFunction

getFunctionalModel, getLearningData, getMaxIteration, getMetrics, getNetworkModel, isShowComments, learn, setFunctionalModel, setLearningData, setMaxIteration, setMetrics, setNetworkModel, setShowComments

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

WTALearningFunctionWithTired

public WTALearningFunctionWithTired(NetworkModel networkModel,
                                    int maxIteration,
                                    MetricModel metrics,
                                    LearningDataModel learningData,
                                    LearningFactorFunctionalModel functionalModel)

Creates a new instance of WTALearningFunction.

Parameters:

networkModel - network model

maxIteration - iteration number

metrics - metrics

learningData - learnig data

functionalModel - functional model

See Also:

MetricModel, LearningData, NetworkModel, LearningFactorFunctionalModel

Method Detail

getBestNeuron

protected int getBestNeuron(double[] vector)

Return number of the best neuron for specified input vector. All neuron's tiredness is increasing

Overrides:

getBestNeuron in class WTALearningFunction

Parameters:

vector - input vector

Returns:

Neuron number

changeNeuronWeight

protected void changeNeuronWeight(int neuronNumber,
                                  double[] vector,
                                  int iteration)

Change neuron weights for specified neuron number,iteration and input data vector. Changed neruon's tiredness is decreasing.

Overrides:

changeNeuronWeight in class WTALearningFunction

Parameters:

neuronNumber - neuron number

vector - input vector

iteration - iteration number